At a Glance
- Tasks: Lead AI projects from concept to secure, scalable deployments in the Security & Justice sector.
- Company: Join a forward-thinking company transforming AI solutions for critical sectors.
- Benefits: Competitive salary up to £115,000, flexible locations, and opportunities for professional growth.
- Other info: Dynamic role with a focus on ethical AI and stakeholder engagement.
- Why this job: Make a real impact by shaping the future of AI in highly regulated environments.
- Qualifications: Expertise in AI/ML, LLMs, and strong leadership skills required.
We're seeking a Lead AI Architect to drive the delivery of large-scale AI and Data transformation programmes within the Security & Justice sector. This is a hands-on leadership role focused on taking AI solutions from proof of concept through to secure, scalable, production-grade deployments in highly regulated environments.
The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills. They will be responsible for designing end-to-end AI architectures, leading multidisciplinary teams, shaping technical roadmaps, and ensuring solutions meet stringent security, governance and operational requirements.
Key Experience Required
- Proven track record delivering enterprise-scale AI/ML solutions into production
- Strong experience leading technical teams and complex transformation programmes
- Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph
- Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP)
- Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments
- Strong understanding of AI security, governance, ethical AI, model evaluation and risk management
- Excellent stakeholder management skills with the ability to translate complex technical concepts into business value
Ideal Candidate
A hands-on AI leader who has successfully delivered real-world AI systems at scale, balancing technical architecture, engineering excellence, client engagement and delivery leadership within complex, mission-critical environments.
Lead AI Architect in City of London employer: Experis
As a Technical Stores Person at our Boscombe Down location, you will be part of a dedicated team supporting military operations with a focus on efficiency and high standards of service. Our company fosters a collaborative work culture that values employee growth, offering training opportunities and the chance to develop your skills in a dynamic environment. With a commitment to excellence and compliance, we provide a unique opportunity to contribute meaningfully to the defence sector while enjoying the benefits of working in a supportive and professional setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Architect in City of London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Experis or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Experis.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Experis.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Experis that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead AI Architect in City of London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Experis.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Experis and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Experis
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Experis uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
